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Paper Citation Record · LEDGER

ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2204.05991.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2204.05991 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T19:39:25.072756Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T20:57:23.231093Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 62ae80b0-f8b7-42af-adad-650bfe4838cd · inbound

The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding cites this paper.

The ART of Composition: Attention-Regularized Training for Compositional Visual Grounding ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-23T07:25:28.422370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-05-23T07:24:01.527093Z digest=sha256:0401b84753cdeafb8b4647d9487d2db5eaa65deb04171e53766acfdf13759e17

Observation c5051570-7e8d-4a2d-9c68-2f44688beed3 · inbound

FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis cites this paper.

FLORA: Formal Language Model Enables Robust Training-free Zero-shot Object Referring Analysis ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T19:39:25.072756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:39:25.072756Z digest=sha256:202d46ca0fe706017f1b292b4f1dc2dac9d76b6c076ed63e7bd44cef2e705d6a

Observation 0b702319-8127-42fb-ab6a-b59835d7f895 · inbound

Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts cites this paper.

Beyond Cropped Regions: New Benchmark and Corresponding Baseline for Chinese Scene Text Retrieval in Diverse Layouts ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:00.550841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:34:00.550841Z digest=sha256:7449cab3191e58e7cabe6c84b2e9bf76039ceca8fd47d77194e33729eba47e2b

Observation edf03e84-17cf-4c67-a26e-d6cd4f7431c4 · inbound

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines cites this paper.

Unification of Closed-Open Industrial Detection Scenarios: New Large-Scale Benchmarks,Challenges and Baselines ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-02T20:47:23.240961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-06-27T20:07:49.478014Z digest=sha256:c27b1b31088b2bf1f0725190279e1e60820c520722319664c16e5eae55581436

Observation 2bb4c8e9-6b46-4c75-ac31-45e748e376ca · inbound

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline cites this paper.

Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline ReCLIP: A Strong Zero-Shot Baseline for Referring Expression Comprehension

Reference 80

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T20:57:23.232532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-06-27T20:03:13.515338Z digest=sha256:c7eb30d37472aa109784ea74af4158034f5e7bf403e89fd288465b9d196550be